Triple
T8840121
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mystery Jets |
E210363
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | PIAS Recordings |
E200782
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: PIAS Recordings | Statement: [Mystery Jets, recordLabel, PIAS Recordings]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: PIAS Recordings Context triple: [Mystery Jets, recordLabel, PIAS Recordings]
-
A.
PIAS Recordings
chosen
PIAS Recordings is an independent record label and part of the PIAS Group, known for releasing music by a wide range of alternative and indie artists.
-
B.
Pallas Records
Pallas Records is a music record label known for releasing works by artists such as Organix.
-
C.
Arbutus Records
Arbutus Records is an independent Montreal-based record label known for nurturing experimental and avant-pop artists, including early releases by Grimes.
-
D.
Intrada Records
Intrada Records is a specialty record label best known for producing and releasing film and television soundtracks, including many expanded and previously unreleased scores.
-
E.
Chrysalis Records
Chrysalis Records is a British record label known for signing influential rock, pop, and folk artists since the late 1960s.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca8388549c819095fd94eadefbb007 |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc6085fe24819095139f18da92d7e7 |
completed | April 1, 2026, 12:02 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0721430819091abe8c13a745725 |
completed | April 3, 2026, 11:11 a.m. |
Created at: March 30, 2026, 6:48 p.m.